To begin our exploration of automated dimensional modeling, it’s essential to first gain an understanding of dimensional modeling. Dimensional modeling is among the most preferred design approaches for building a data warehouse. First introduced in 1996, Kimball’s dimensional data models…
Category: DW Builder
- Blog
Build Data Warehouse with Concentrated Teams
Modern enterprises are changing their approach toward data warehousing due to rapidly evolving business environments and a massive influx of data being generated every day. Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional…
- Blog
Loading Data into Facts and Dimensions — A Piece of Cake?
Kimball-style dimensional modeling has been the go-to architecture for most data warehouse developers over the past couple of decades. The denormalized nature of these schemas, coupled with optimization for history maintenance, makes the dimensional model an ideal tool for the…
- Blog
What’s the Best Data Warehouse Architecture for Reporting?
Most enterprises out there rely on a data warehouse as a single source of truth — a consolidated data repository that serves as a reporting layer for companies to identify trends and gain valuable business insights. However, to maximize performance…
- Whitepaper
Drive Data Analytics with HR Data Warehouse
HR analytics involves integrating data from heterogeneous sources to drive in-depth business analyses pertaining to hiring, retention, employee learning and development, and even payroll.